For event analysis,the information from both before and after the event can be crucial in certain scenarios.By incorporating a contextualized perspective in event analysis,analysts can gain deeper insights from the ev...For event analysis,the information from both before and after the event can be crucial in certain scenarios.By incorporating a contextualized perspective in event analysis,analysts can gain deeper insights from the events.We propose a contextualized visual analysis framework which enables the identification and interpretation of temporal patterns within and across multivariate events.The framework consists of a design of visual representation for multivariate event contexts,a data processing workflow to support the visualization,and a context-centered visual analysis system to facilitate the interactive exploration of temporal patterns.To demonstrate the applicability and effectiveness of our framework,we present case studies using real-world datasets from two different domains and an expert study conducted with experienced data analysts.展开更多
In recent years,the concept of“precision microbiome”has received a lot of attention from researchers.It involves the precise analysis and typing of microbiota in specific hosts(e.g.,humans or animals)using advanced ...In recent years,the concept of“precision microbiome”has received a lot of attention from researchers.It involves the precise analysis and typing of microbiota in specific hosts(e.g.,humans or animals)using advanced tools like high-throughput sequencing,genomics,and artificial intelligence(AI).These tools help explore the complex interactions between microbiota and hosts to provide more precise and personalized treatment strategies[1,2].With the maturation of omics technologies and data analysis techniques,the essential role of gut microbiota in immune system maturation,barrier function maintenance,and metabolic regulation has become increasingly recognized[3].However,the“hodgepodge”approach of traditional fecal microbiota transplantation(FMT)cannot be appropriately controlled in clinical applications.This challenge has spurred the emergence of targeted interventions focused on specific functional core probiotics.Unlike traditional FMT,this approach aims to precisely identify and target microbial functional genes and metabolic pathways,selecting core probiotics for application,to improve host health and prevent or manage diseases[4].This article reviews the advantages and limitations of traditional FMT and core probiotic targeted therapy while exploring the future directions of precision microbiome research.展开更多
Free electron radiation,particularly Smith-Purcell radiation,provides a versatile platform for exploring lightmatter interactions and generating light sources.A fundamental characteristic of Smith-Purcell radiation is...Free electron radiation,particularly Smith-Purcell radiation,provides a versatile platform for exploring lightmatter interactions and generating light sources.A fundamental characteristic of Smith-Purcell radiation is the monotonic decrease in radiation frequency as the observation angle increases relative to the direction of the free electrons’motion,akin to the Doppler effect.Here,we demonstrate that this fundamental characteristic can be altered in Smith-Purcell radiation generated by photonic crystals with left-handed properties.Specifically,we have achieved,to our knowledge,a novel phenomenon that the lower-frequency components propagate forward,while the higher-frequency components propagate backward,which we define as reverse Smith-Purcell radiation.Additionally,this reverse Smith-Purcell radiation can confine the radiation to a narrow angular range,which provides a way to obtain broadband light sources in a specific observation angle.Furthermore,by precisely adjusting the grating geometry and the kinetic energy of the free electrons,we can control both the radiation direction and the output frequencies.Our results provide a promising platform to study unexplored light-matter interactions and open avenues to obtain tunable,broadband light sources.展开更多
We propose an approach to underpin interactive visual exploration of large data volumes by training Learned Visualization Index(LVI).Knowing in advance the data,the aggregation functions that are used for visualizatio...We propose an approach to underpin interactive visual exploration of large data volumes by training Learned Visualization Index(LVI).Knowing in advance the data,the aggregation functions that are used for visualization,the visual encoding,and available interactive operations for data selection,LVI allows to avoid time-consuming data retrieval and processing of raw data in response to user’s interactions.Instead,LVI directly predicts aggregates of interest for the user’s data selection.We demonstrate the efficiency of the proposed approach in application to two use cases of spatio-temporal data at different scales.展开更多
基金supported by Natural Science Foundation of China(NSFC No.62472099 and No.62202105)Federal Ministry of Education and Research of Germany and the state of North-Rhine Westphalia as part of the Lamarr Institute for Machine Learning and Artificial Intelligence(Lamarr22B)by EU in project CrexData(grant agreement No.101092749).
文摘For event analysis,the information from both before and after the event can be crucial in certain scenarios.By incorporating a contextualized perspective in event analysis,analysts can gain deeper insights from the events.We propose a contextualized visual analysis framework which enables the identification and interpretation of temporal patterns within and across multivariate events.The framework consists of a design of visual representation for multivariate event contexts,a data processing workflow to support the visualization,and a context-centered visual analysis system to facilitate the interactive exploration of temporal patterns.To demonstrate the applicability and effectiveness of our framework,we present case studies using real-world datasets from two different domains and an expert study conducted with experienced data analysts.
基金supported by the National Natural Science Foundation of China(grant 82300345)National High-Level Hospital Clinical Research Funding(2023-GSP-QN-23,China)。
文摘In recent years,the concept of“precision microbiome”has received a lot of attention from researchers.It involves the precise analysis and typing of microbiota in specific hosts(e.g.,humans or animals)using advanced tools like high-throughput sequencing,genomics,and artificial intelligence(AI).These tools help explore the complex interactions between microbiota and hosts to provide more precise and personalized treatment strategies[1,2].With the maturation of omics technologies and data analysis techniques,the essential role of gut microbiota in immune system maturation,barrier function maintenance,and metabolic regulation has become increasingly recognized[3].However,the“hodgepodge”approach of traditional fecal microbiota transplantation(FMT)cannot be appropriately controlled in clinical applications.This challenge has spurred the emergence of targeted interventions focused on specific functional core probiotics.Unlike traditional FMT,this approach aims to precisely identify and target microbial functional genes and metabolic pathways,selecting core probiotics for application,to improve host health and prevent or manage diseases[4].This article reviews the advantages and limitations of traditional FMT and core probiotic targeted therapy while exploring the future directions of precision microbiome research.
基金National Natural Science Foundation of China(61988102,62401113)Natural Science Foundation of Sichuan Province(25QNJJ2315)Fund of Key Laboratory of THz Technology,Ministry of Education。
文摘Free electron radiation,particularly Smith-Purcell radiation,provides a versatile platform for exploring lightmatter interactions and generating light sources.A fundamental characteristic of Smith-Purcell radiation is the monotonic decrease in radiation frequency as the observation angle increases relative to the direction of the free electrons’motion,akin to the Doppler effect.Here,we demonstrate that this fundamental characteristic can be altered in Smith-Purcell radiation generated by photonic crystals with left-handed properties.Specifically,we have achieved,to our knowledge,a novel phenomenon that the lower-frequency components propagate forward,while the higher-frequency components propagate backward,which we define as reverse Smith-Purcell radiation.Additionally,this reverse Smith-Purcell radiation can confine the radiation to a narrow angular range,which provides a way to obtain broadband light sources in a specific observation angle.Furthermore,by precisely adjusting the grating geometry and the kinetic energy of the free electrons,we can control both the radiation direction and the output frequencies.Our results provide a promising platform to study unexplored light-matter interactions and open avenues to obtain tunable,broadband light sources.
基金National Key R&D Program of China(2018YFC0831700)NSFC project(61972278)+1 种基金Natural Science Foundation of Tianjin(20JCQNJC01620)the Browser Project(CEIEC-2020-ZM02-0132).
文摘We propose an approach to underpin interactive visual exploration of large data volumes by training Learned Visualization Index(LVI).Knowing in advance the data,the aggregation functions that are used for visualization,the visual encoding,and available interactive operations for data selection,LVI allows to avoid time-consuming data retrieval and processing of raw data in response to user’s interactions.Instead,LVI directly predicts aggregates of interest for the user’s data selection.We demonstrate the efficiency of the proposed approach in application to two use cases of spatio-temporal data at different scales.
